AI implementation for APRA-regulated financial services. We deploy, govern, train your teams, and manage ongoing operations.
Trusted by financial institutions
ClearView 
Most financial institutions have an AI strategy. Few have AI in production. The gap is not ambition, it is execution. APRA-regulated environments demand governance, auditability, and data sovereignty from day one.
67% of Australian financial services firms have adopted AI, yet 75% have not moved beyond pilot. Nearly half lack AI governance policies. 44% cite talent as their top barrier. The industry needs engineering partners who can close the gap between strategy and production.
67%
Have adopted AI
AU financial services firms
Broadridge, 2025
75%
Stuck in pilot
Have not scaled AI to production
Deloitte, 2026
~50%
Governance gap
Licensees lack AI fairness policies
ASIC REP 798, 2024
44%
Skills shortage
Cite AI talent as top barrier
Deloitte, 2026
Four integrated capabilities that take AI from concept to production in regulated environments.
From model selection to production deployment. AI systems built to work within your existing infrastructure and meet regulatory requirements from day one.
Acceptable use policies, risk classification, and approval workflows. Aligned with APRA CPS 230 and ASIC guidance.
Role-based training and prompt engineering workshops. Structured change management to drive AI adoption across your organisation.
Every AI interaction is logged. Prompts, responses, model versions, user identity, and policy decisions are captured in an immutable audit trail ready for APRA review.
A structured process from assessment to ongoing operations.
AI maturity, data readiness, regulatory posture, team capability
Solution architecture, governance framework, change management programme
Production deployment, platform integration, monitoring pipelines
Managed support, compliance reporting, continuous improvement
AI maturity, data readiness, regulatory posture, team capability
Solution architecture, governance framework, change management programme
Production deployment, platform integration, monitoring pipelines
Managed support, compliance reporting, continuous improvement
Choose the engagement level that fits your organisation's needs and AI maturity.
Adaca partnered with a leading Australian bank to deploy AI across customer operations and risk management. The engagement covered model selection, governance frameworks aligned with APRA CPS 230, role-based training for 200+ staff, and ongoing managed operations with full audit trail.
Production AI deployed in 12 weeks with zero compliance findings at first APRA review
APRA CPS 230, ASIC, and AML/CTF compliance built in from day one. Not retrofitted. Engineered into every layer.
4.5+ year average tenure means deep codebase knowledge and regulatory context that does not walk out the door.
Adaca builds production AI products including Lovelace, Primrose, Solido, and Lineer. We ship what we recommend.
Common questions about AI implementation in regulated financial services.
Still have questions?
Talk to our teamWhile this page focuses on financial services, Adaca delivers AI implementation across regulated industries including banking, insurance, wealth management, and superannuation. Our governance frameworks are adaptable to any sector with strict compliance requirements.
Where possible, AI models and data pipelines are deployed within Australian data centres or sovereign cloud regions. Public models such as OpenAI and Anthropic do not guarantee data sovereignty, so we put policies and procedures in place to ensure only appropriate data (for example, non-PII) is sent to those services. Full audit trails track data residency at every stage.
Our audit trail captures every AI interaction: prompts, responses, model versions, user identity, timestamps, and policy decisions. This data is stored immutably and can be exported for APRA examinations, internal audits, or board reporting.
An Essentials engagement (readiness assessment and governance framework) typically takes 2 to 4 weeks. Professional engagements with production deployment run 8 to 12 weeks. Enterprise engagements are ongoing, with initial deployment in 12 weeks and managed operations continuing from there.
Yes. We integrate with Azure, AWS, GCP, Cloudflare, and on-premises infrastructure. Our engineers connect AI capabilities to core banking systems, CRM platforms, and internal tools without requiring a platform migration.
Still have questions?
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